Home Uncategorised Machine Learning – Linear Regression Quiz Answers

Machine Learning – Linear Regression Quiz Answers

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Q1. Based on the regression equation, with every 1000 unit increase in income, the monthly revenue will:

  • Decrease by 2.2 unit
  • Decrease by 81.6 unit
  • Increase by 2.2 unit
  • Increase by 81.6 unit

Q2. Looking at the Least Square Method plot, what will be your conclusion?

  • The data is random
  • There is a linear relation between the two variables
  • The data has autocorrelation
  • The data is normal

Q3. Do you agree the fact that the estimate of the target variable is unbiased, i.e. average residuals is almost zero?

  • Don’t Agree
  • Agree

Q4. In this simulation we tried to predict Annual Income of a customer through his/her average monthly revenue. True or False?

  • FALSE
  • TRUE

Q5. What is the percentage of variation explained by the model?(Mark the closest value)

  • 40%
  • 39%
  • 60%
  • 61%

Q6. Given other factors unchanged, if a flight departs 10 mins late, the flight’s expected delay in arrival is:

  • Delayed by 9 seconds
  • Early by 9 seconds
  • Delayed by 9 minutes
  • Early by 9 minutes

Q7. Find the odd one out (based on variable significance):

  • Departure Delay
  • Taxi Out Time
  • Air Time
  • Taxi In Time

Q8. The most important variable to predict arrival delay (as per the model) is:

  • Air Time
  • Mid of Week Flag
  • Distance
  • Departure Delay

Q9. Find the odd one out (based on variable type):

  • Taxi Out Time
  • Distance
  • Departure Delay
  • Air Time

Q10. What is the MAPE of the model? (Select the closest value)

  • 0.308
  • 0.196
  • 0.087
  • 0.219

Q11. Did the model rank ordered with respect to predicted value of average fare?

  • TRUE
  • FALSE

Q12. What percentage of observations have absolute percentage deviation less than 25%? (Select the closest value)

  • 0.59
  • 0.38
  • 0.62
  • 0.21

Q13. How much improvement we got from using the variable transformation? (Mark the closest value)

  • R-square dropped little more than 1%
  • R-square increased little less than 1%
  • R-square increased little more than 1%
  • R-square dropped little less than 1%

Q14. From the final model what we can infer about the predictor Retail Establishment?

  • It has an insignificant impact at Retail Sales
  • It has a positive directional impact at Retail Sales
  • It has a negative directional impact at Retail Sales
  • None of the above

Q15. From the final model what we can infer about the predictor Income?

  • It has a negative directional impact at Retail Sales
  • It has an insignificant impact at Retail Sales
  • None of the above
  • It has a positive directional impact at Retail Sales

Q15. Which variable did you identified to cause overfitting in the model?

  • Market-share of lowest price airline
  • Average Weekly Passenger
  • Market-share of leading airline
  • Average Fare of Leading Airline

Q16. What was the drop in model R-square post removal of overfitting? (select the closest one)

  • 43% from 97%
  • 44% from 96%
  • 43% from 96%
  • 44% from 97%

Q17. Which variable came insignificant at 99% at the first run?

  • Lowest Price
  • None of the above
  • Average Weekly Passengers
  • Distance

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